The overall goal of this presentation is to show how housing prices varies according to location and proximity to the ocean. The main features are housing_median_age (Years), median_income (USD), median_house_value (USD) and ocean_proximity.
The data analyzed is the California housing price dataset downloaded from kaggle. The dataset contains 20,640 observations and 10 features. The features are listed below:
There is a positive correlation between households income and house value as shown in the plot below:
The age of the House does not have any impact on the value placed on the house.
The location of the houses have impact on the value of the house. The closer they are to the Waters, the higher the value